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[Dean Peterson]

Great topic. On the HRTF front, the biggest thing people underestimate is individualization—generic HRTFs from KEMAR/KEMAN databases are averaged across a population, so they bake in a specific pinna shape and interaural distance that rarely matches yours. That’s the root cause of the classic front/back confusion and poor elevation resolution, because the spectral notches and pinna diffraction cues that disambiguate these planes are person-specific. In competitive play where you’re reading directional info under time pressure, a mismatched HRTF means your brain has to interpolate unreliable spectral shaping, which is slower and more error-prone. The pragmatic fix most of us use is head tracking—if you’re locked to a fixed sweet spot, letting the renderer compensate for actual head rotation decouples the azimuth cues from the HRTF’s static geometry, which masks a lot of the front/back ambiguity. Even a cheap IR tracking rig or Windows’ built-in head tracking paired with a decent

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